Major cloud providers have rolled

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The good news is that there are tools and platforms that make real-time more real—even for small and midsize organizations with limited IT budgets. Over the past decade, “the emergence of new real-time infrastructure offerings has enabled a much broader range of organizations to take advantage of real-time capabilities,” says Trautman.

out managed services designed to handle real-time data, including streaming data and real-time analytics, he says. “The rise of distributed databases, in-memory databases, and time-series databases are australia mobile database real-time data more efficient,” Trautman says. “Open-source offerings like Apache Kafka, Apache Flink, and Apache Storm have further expanded the real-time data ecosystem.”

In addition, he said, the growth of edge computing has also improved the efficiency of real-time data processing, especially for IoT applications, and the potential of 5G technology to reduce latency and improve data processing capabilities opens up new horizons for real-time applications.

However, “the adoption of real-time data infrastructure today is uneven,” Pearson notes. “We often see a gap between more technology-driven industries, which tend to be early adopters of real-time models, and industries like e-commerce and finance, where it may take longer.” In addition, he says, most organizations use a myriad of data management technologies and cloud providers, which creates complexities and challenges in accessing and delivering real-time data. Governance and privacy regulations are another complicating factor.